1
|
Pourzinal D, Yang J, McMahon KL, Copland DA, Mitchell L, O'Sullivan JD, Byrne GJ, Dissanayaka NN. Hippocampal resting-state connectivity is associated with posterior-cortical cognitive impairment in Parkinson's disease. Brain Behav 2024; 14:e3454. [PMID: 38468574 DOI: 10.1002/brb3.3454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 02/08/2024] [Accepted: 02/10/2024] [Indexed: 03/13/2024] Open
Abstract
AIM Frontal and posterior-cortical cognitive subtypes in Parkinson's disease (PD) present with executive/attention and memory/visuospatial deficits, respectively. As the posterior-cortical subtype is predicted to progress rapidly toward dementia, the present study aimed to explore biological markers of this group using resting-state functional magnetic resonance imaging (rs-fMRI). METHODS K-means cluster analysis delineated subtypes (cognitively intact, frontal, posterior-cortical, and globally impaired) among 85 people with PD. A subset of PD participants (N = 42) and 20 healthy controls (HCs) underwent rs-fMRI. Connectivity of bilateral hippocampi with regions of interest was compared between posterior-cortical, cognitively intact, and HC participants using seed-based analysis, controlling for age. Exploratory correlations were performed between areas of interest from the group analysis and a series of cognitive tests. RESULTS The posterior-cortical subtype (N = 19) showed weaker connectivity between the left hippocampus and right anterior temporal fusiform cortex compared to the cognitively intact (N = 11) group, p-false discovery rate (FDR) = .01, and weaker connectivity between bilateral hippocampi and most fusiform regions compared to HCs (N = 20). No differences were found between HCs and cognitively intact PD. Exploratory analyses revealed strongest associations between connectivity of the right anterior temporal fusiform cortex and left hippocampus with category fluency (p-FDR = .01). CONCLUSION Results suggest that weakened connectivity between the hippocampus and fusiform region is a unique characteristic of posterior-cortical cognitive deficits in PD. Further exploration of hippocampal and fusiform functional integrity as a marker of cognitive decline in PD is warranted.
Collapse
Affiliation(s)
- Dana Pourzinal
- Faculty of Medicine, The University of Queensland Centre for Clinical Research, Herston, Australia
| | - Jihyun Yang
- Faculty of Medicine, The University of Queensland Centre for Clinical Research, Herston, Australia
| | - Katie L McMahon
- School of Clinical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Australia
| | - David A Copland
- Queensland Aphasia Research Centre, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia
- Surgical Treatment and Rehabilitation Service (STARS) Education and Research Alliance, The University of Queensland and Metro North Health, Queensland, Australia
| | - Leander Mitchell
- School of Psychology, The University of Queensland, St Lucia, Australia
| | - John D O'Sullivan
- Faculty of Medicine, The University of Queensland Centre for Clinical Research, Herston, Australia
- Department of Neurology, Royal Brisbane & Women's Hospital, Herston, Australia
| | - Gerard J Byrne
- Faculty of Medicine, The University of Queensland Centre for Clinical Research, Herston, Australia
- Mental Health Service, Royal Brisbane & Women's Hospital, Herston, Australia
| | - Nadeeka N Dissanayaka
- Faculty of Medicine, The University of Queensland Centre for Clinical Research, Herston, Australia
- School of Psychology, The University of Queensland, St Lucia, Australia
- Department of Neurology, Royal Brisbane & Women's Hospital, Herston, Australia
| |
Collapse
|
2
|
Mu S, Lu W, Yu G, Zheng L, Qiu J. Deep learning-based grading of white matter hyperintensities enables identification of potential markers in multi-sequence MRI data. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 243:107904. [PMID: 37924768 DOI: 10.1016/j.cmpb.2023.107904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 10/06/2023] [Accepted: 10/27/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND White matter hyperintensities (WMHs) are widely-seen in the aging population, which are associated with cerebrovascular risk factors and age-related cognitive decline. At present, structural atrophy and functional alterations coexisted with WMHs lacks comprehensive investigation. This study developed a WMHs risk prediction model to evaluate WHMs according to Fazekas scales, and to locate potential regions with high risks across the entire brain. METHODS We developed a WMHs risk prediction model, which consisted of the following steps: T2 fluid attenuated inversion recovery (T2-FLAIR) image of each participant was firstly segmented into 1000 tiles with the size of 32 × 32 × 1, features from the tiles were extracted using the ResNet18-based feature extractor, and then a 1D convolutional neural network (CNN) was used to score all tiles based on the extracted features. Finally, a multi-layer perceptron (MLP) was constructed to predict the Fazekas scales based on the tile scores. The proposed model was trained using T2-FLAIR images, we selected tiles with abnormal scores in the test set after prediction, and evaluated their corresponding gray matter (GM) volume, white matter (WM) volume, fractional anisotropy (FA), mean diffusivity (MD), and cerebral blood flow (CBF) via longitudinal and multi-sequence Magnetic Resonance Imaging (MRI) data analysis. RESULTS The proposed WMHs risk prediction model could accurately predict the Fazekas ratings based on the tile scores from T2-FLAIR MRI images with accuracy of 0.656, 0.621 in training data set and test set, respectively. The longitudinal MRI validation revealed that most of the high-risk tiles predicted by the WMHs risk prediction model in the baseline images had WMHs in the corresponding positions in the longitudinal images. The validation on multi-sequence MRI demonstrated that WMHs were associated with GM and WM atrophies, WM micro-structural and perfusion alterations in high-risk tiles, and multi-modal MRI measures of most high-risk tiles showed significant associations with Mini Mental State Examination (MMSE) score. CONCLUSION Our proposed WMHs risk prediction model can not only accurately evaluate WMH severities according to Fazekas scales, but can also uncover potential markers of WMHs across modalities. The WMHs risk prediction model has the potential to be used for the early detection of WMH-related alterations in the entire brain and WMH-induced cognitive decline.
Collapse
Affiliation(s)
- Si Mu
- College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, Shandong, 271000, China
| | - Weizhao Lu
- Department of Radiology, the Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, 271000, China
| | - Guanghui Yu
- Department of Radiology, the Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, 271000, China
| | - Lei Zheng
- Department of Radiology, Rushan Hospital of Chinese Medicine, Rushan, Shandong, 264500, China.
| | - Jianfeng Qiu
- School of Radiology, Shandong First Medical University & Shandong Academy of Medicine Sciences, Tai'an, Shandong, 271000, China; Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, China.
| |
Collapse
|
3
|
Radstake WE, Jillings S, Laureys S, Demertzi A, Sunaert S, Van Ombergen A, Wuyts FL. Neuroplasticity in F16 fighter jet pilots. Front Physiol 2023; 14:1082166. [PMID: 36875024 PMCID: PMC9974643 DOI: 10.3389/fphys.2023.1082166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 01/09/2023] [Indexed: 02/17/2023] Open
Abstract
Exposure to altered g-levels causes unusual sensorimotor demands that must be dealt with by the brain. This study aimed to investigate whether fighter pilots, who are exposed to frequent g-level transitions and high g-levels, show differential functional characteristics compared to matched controls, indicative of neuroplasticity. We acquired resting-state functional magnetic resonance imaging data to assess brain functional connectivity (FC) changes with increasing flight experience in pilots and to assess differences in FC between pilots and controls. We performed whole-brain exploratory and region-of-interest (ROI) analyses, with the right parietal operculum 2 (OP2) and the right angular gyrus (AG) as ROIs. Our results show positive correlations with flight experience in the left inferior and right middle frontal gyri, and in the right temporal pole. Negative correlations were observed in primary sensorimotor regions. We found decreased whole-brain functional connectivity of the left inferior frontal gyrus in fighter pilots compared to controls and this cluster showed decreased functional connectivity with the medial superior frontal gyrus. Functional connectivity increased between the right parietal operculum 2 and the left visual cortex, and between the right and left angular gyrus in pilots compared to controls. These findings suggest altered motor, vestibular, and multisensory processing in the brains of fighter pilots, possibly reflecting coping strategies to altered sensorimotor demands during flight. Altered functional connectivity in frontal areas may reflect adaptive cognitive strategies to cope with challenging conditions during flight. These findings provide novel insights into brain functional characteristics of fighter pilots, which may be of interest to humans traveling to space.
Collapse
Affiliation(s)
| | - Steven Jillings
- Laboratory for Equilibrium Investigations and Aerospace, University of Antwerp, Antwerp, Belgium
| | - Steven Laureys
- Coma Science Group, GIGA Consciousness, GIGA Institute, University and University Hospital of Liège, Liège, Belgium
| | - Athena Demertzi
- Physiology of Cognition Lab, GIGA-CRC In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology & Neuroscience of Cognition, University of Liège, Liège, Belgium
| | - Stefan Sunaert
- Translational MRI, Department of Imaging and Pathology, KU Leuven and University Hospital of Leuven, Leuven, Belgium
| | - Angelique Van Ombergen
- Laboratory for Equilibrium Investigations and Aerospace, University of Antwerp, Antwerp, Belgium.,Department of Translational Neurosciences-ENT, University of Antwerp, Antwerp, Belgium
| | - Floris L Wuyts
- Laboratory for Equilibrium Investigations and Aerospace, University of Antwerp, Antwerp, Belgium
| |
Collapse
|
4
|
Zhu Z, Deng J, Li M, Qin Y, Li J, Yang Y. Processing speed mediates the relationship between brain structure and semantic fluency in aging. Neurosci Lett 2022; 788:136838. [PMID: 35964825 DOI: 10.1016/j.neulet.2022.136838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 08/07/2022] [Accepted: 08/08/2022] [Indexed: 10/15/2022]
Abstract
The present study has investigated how brain structure and processing speed contribute to age-related changes in semantic fluency. Groups of younger (N = 37) and older healthy participants (N = 40) completed a semantic fluency test and digit symbol test, and rested while diffusion tensor imaging (DTI) was performed. Group comparisons and correlational analysis revealed that age-related decline in semantic fluency was associated with reduction in gray matter volume in widespread fronto-temporal regions. Age-related decline in semantic fluency was also associated with decline in white matter integrity in brain tracts connecting these brain regions. Critically, hierarchical regression analysis suggested that low processing speed fully mediated the negative effects of lower gray matter volume and white matter integrity on semantic fluency. The present findings provide a support for the processing speed theory in relation to age related decline in semantic fluency, and also provide a reference for improving cognitive decline.
Collapse
Affiliation(s)
- Zude Zhu
- School of Liberal Arts, Nanjing Normal University, Nanjing 210097, China; School of Linguistic Sciences and Arts, Jiangsu Normal University, Xuzhou 221009, China; Collaborative Innovation Center for Language Ability, Xuzhou 221009, China; Jiangsu Key Laboratory of Language and Cognitive Neuroscience, Xuzhou 221009, China.
| | - Jia Deng
- School of Linguistic Sciences and Arts, Jiangsu Normal University, Xuzhou 221009, China
| | - Mengya Li
- School of Linguistic Sciences and Arts, Jiangsu Normal University, Xuzhou 221009, China
| | - Ye Qin
- School of Linguistic Sciences and Arts, Jiangsu Normal University, Xuzhou 221009, China
| | - Jingyi Li
- School of Linguistic Sciences and Arts, Jiangsu Normal University, Xuzhou 221009, China
| | - Yiming Yang
- School of Linguistic Sciences and Arts, Jiangsu Normal University, Xuzhou 221009, China; Collaborative Innovation Center for Language Ability, Xuzhou 221009, China; Jiangsu Key Laboratory of Language and Cognitive Neuroscience, Xuzhou 221009, China.
| |
Collapse
|
5
|
Hirabayashi N, Hata J, Furuta Y, Ohara T, Shibata M, Hirakawa Y, Yamashita F, Yoshihara K, Kitazono T, Sudo N, Ninomiya T. Association Between Diabetes and Gray Matter Atrophy Patterns in a General Older Japanese Population: The Hisayama Study. Diabetes Care 2022; 45:1364-1371. [PMID: 35500069 DOI: 10.2337/dc21-1911] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 03/25/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To examine the association between diabetes and gray matter atrophy patterns in a general older Japanese population. RESEARCH DESIGN AND METHODS In 2012, a total of 1,189 community-dwelling Japanese aged ≥65 years underwent brain MRI scans. Regional gray matter volumes (GMV) and intracranial volume (ICV) were measured by applying voxel-based morphometry (VBM) methods. The associations of diabetes and related parameters with the regional GMV/ICV were examined using an ANCOVA. The regional gray matter atrophy patterns in the subjects with diabetes or elevated fasting plasma glucose (FPG) or 2-h postload glucose (2hPG) levels were investigated using VBM. RESULTS Subjects with diabetes had significantly lower mean values of GMV/ICV in the frontal lobe, temporal lobe, insula, deep gray matter structures, and cerebellum than subjects without diabetes after adjusting for potential confounders. A longer duration of diabetes was also significantly associated with lower mean values of GMV/ICV in these brain regions. The multivariable-adjusted mean values of the temporal, insular, and deep GMV/ICV decreased significantly with elevating 2hPG levels, whereas higher FPG levels were not significantly associated with GMV/ICV of any brain regions. In the VBM analysis, diabetes was associated with gray matter atrophy in the bilateral superior temporal gyri, right middle temporal gyrus, left inferior temporal gyrus, right middle frontal gyrus, bilateral thalami, right caudate, and right cerebellum. CONCLUSIONS The current study suggests that a longer duration of diabetes and elevated 2hPG levels are significant risk factors for gray matter atrophy in various brain regions.
Collapse
Affiliation(s)
- Naoki Hirabayashi
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Ito Clinic, Kyushu University, Fukuoka, Japan.,Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoshihiko Furuta
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medical-Engineering Collaboration for Healthy Longevity, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomoyuki Ohara
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Mao Shibata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoichiro Hirakawa
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Fumio Yamashita
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
| | - Kazufumi Yoshihara
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takanari Kitazono
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Nobuyuki Sudo
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| |
Collapse
|
6
|
Loued-Khenissi L, Trofimova O, Vollenweider P, Marques-Vidal P, Preisig M, Lutti A, Kliegel M, Sandi C, Kherif F, Stringhini S, Draganski B. Signatures of life course socioeconomic conditions in brain anatomy. Hum Brain Mapp 2022; 43:2582-2606. [PMID: 35195323 PMCID: PMC9057097 DOI: 10.1002/hbm.25807] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 01/19/2022] [Accepted: 01/31/2022] [Indexed: 11/11/2022] Open
Abstract
Socioeconomic status (SES) plays a significant role in health and disease. At the same time, early-life conditions affect neural function and structure, suggesting the brain may be a conduit for the biological embedding of SES. Here, we investigate the brain anatomy signatures of SES in a large-scale population cohort aged 45-85 years. We assess both gray matter morphometry and tissue properties indicative of myelin content. Higher life course SES is associated with increased volume in several brain regions, including postcentral and temporal gyri, cuneus, and cerebellum. We observe more widespread volume differences and higher myelin content in the sensorimotor network but lower myelin content in the temporal lobe associated with childhood SES. Crucially, childhood SES differences persisted in adult brains even after controlling for adult SES, highlighting the unique contribution of early-life conditions to brain anatomy, independent of later changes in SES. These findings inform on the biological underpinnings of social inequality, particularly as they pertain to early-life conditions.
Collapse
Affiliation(s)
- Leyla Loued-Khenissi
- Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne.,Theory of Pain Laboratory, University of Geneva, Geneva
| | - Olga Trofimova
- Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne
| | - Peter Vollenweider
- Department of medicine, Internal medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Martin Preisig
- Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Antoine Lutti
- Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne
| | - Matthias Kliegel
- Laboratoire du Vieillissement Cognitif, Université de Genève, Geneva, Switzerland
| | - Carmen Sandi
- Laboratory of Behavioral Genetics, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
| | - Ferhat Kherif
- Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne
| | - Silvia Stringhini
- University Centre for General Medicine and Public Health (UNISANTE), Lausanne University, Lausanne, Switzerland.,Unit of Population Epidemiology, Primary Care Division, Geneva University Hospitals, Geneva, Switzerland
| | - Bogdan Draganski
- Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne.,Neurology Department, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| |
Collapse
|
7
|
Rieger AC, Silverman DHS. Is It Too Soon to Know When It's LATE? J Nucl Med 2022; 63:180-182. [PMID: 35101927 DOI: 10.2967/jnumed.121.263229] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 11/16/2021] [Indexed: 11/16/2022] Open
Affiliation(s)
- Angela C Rieger
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Daniel H S Silverman
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, Los Angeles, California
| |
Collapse
|
8
|
Sang F, Chen Y, Chen K, Dang M, Gao S, Zhang Z. Sex Differences in Cortical Morphometry and White Matter Microstructure During Brain Aging and Their Relationships to Cognition. Cereb Cortex 2021; 31:5253-5262. [PMID: 34148074 DOI: 10.1093/cercor/bhab155] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 04/16/2021] [Accepted: 05/10/2021] [Indexed: 01/02/2023] Open
Abstract
Changes in brain structure are associated with aging, and accompanied by the gradual deterioration of cognitive functions, which manifests differently in males and females. Here, we quantify the age-related spatial aging patterns of brain gray and white matter structures, their volume reduction rate, their relationships with specific cognitive functions, as well as differences between males and females in a cross-sectional nondementia dataset. We found that both males and females showed extensive age-related decreases in the volumes of most gray matter and white matter regions. Females have larger regions where the volume decreases with age and a greater slope (females: 0.199%, males: 0.183%) of volume decrease in gray matter. For white matter, no significant sex differences were found in age-related regions, and the slope of volume decrease. More significant associations were identified between brain structures and cognition in males during aging than females. This study explored the age-related regional variations in gray matter and white matter, as well as the sex differences in a nondemented elderly population. This study helps to further understand the aging of the brain structure and sex differences in the aging of brain structures and provides new evidence for the aging of nondemented individuals.
Collapse
Affiliation(s)
- Feng Sang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.,Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China
| | - Yaojing Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.,Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, AZ 85006, USA
| | - Mingxi Dang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.,Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China
| | - Shudan Gao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.,Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.,Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China
| |
Collapse
|
9
|
Karsazi H, Rezapour T, Kormi-Nouri R, Mottaghi A, Abdekhodaie E, Hatami J. The moderating effect of neuroticism and openness in the relationship between age and memory: Implications for cognitive reserve. PERSONALITY AND INDIVIDUAL DIFFERENCES 2021. [DOI: 10.1016/j.paid.2021.110773] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
10
|
Herlin B, Navarro V, Dupont S. The temporal pole: From anatomy to function-A literature appraisal. J Chem Neuroanat 2021; 113:101925. [PMID: 33582250 DOI: 10.1016/j.jchemneu.2021.101925] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 01/29/2021] [Accepted: 01/30/2021] [Indexed: 12/22/2022]
Abstract
Historically, the anterior part of the temporal lobe was labelled as a unique structure named Brain Area 38 by Brodmann or Temporopolar Area TG by Von Economo, but its functions were unknown at that time. Later on, a few studies proposed to divide the temporal pole in several different subparts, based on distinct cytoarchitectural structure or connectivity patterns, while a still growing number of studies have associated the temporal pole with many cognitive functions. In this review, we provide an overview of the temporal pole anatomical and histological structure and its various functions. We performed a literature review of articles published prior to September 30, 2020 that included 112 articles. The temporal pole has thereby been associated with several high-level cognitive processes: visual processing for complex objects and face recognition, autobiographic memory, naming and word-object labelling, semantic processing in all modalities, and socio-emotional processing, as demonstrated in healthy subjects and in patients with neurological or psychiatric diseases, especially in the field of neurodegenerative disorders. A good knowledge of those functions and the symptoms associated with temporal pole lesions or dysfunctions is helpful to identify these diseases, whose diagnosis may otherwise be difficult.
Collapse
Affiliation(s)
- Bastien Herlin
- APHP Pitie-Salpêtrière-Charles-Foix, Epileptology Unit, Paris, France.
| | - Vincent Navarro
- APHP Pitie-Salpêtrière-Charles-Foix, Epileptology Unit, Paris, France; Sorbonne University, UPMC, Paris, France; APHP Pitie-Salpêtrière-Charles-Foix, Neurophysiology Unit, Paris, France; Brain and Spine Institute (INSERM UMRS1127, CNRS UMR7225, UPMC), Paris, France
| | - Sophie Dupont
- APHP Pitie-Salpêtrière-Charles-Foix, Epileptology Unit, Paris, France; Sorbonne University, UPMC, Paris, France; Brain and Spine Institute (INSERM UMRS1127, CNRS UMR7225, UPMC), Paris, France; APHP Pitie-Salpêtrière-Charles-Foix, Rehabilitation Unit, Paris, France
| |
Collapse
|
11
|
ElKholy N, Tawfik HM, Ebeid S, Madkor ORE, Hamza SA. A model of cognitive evaluation battery for diagnosis of mild cognitive impairment and dementia in educated and illiterate Egyptian elderly people. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2020. [DOI: 10.1186/s41983-020-00223-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
The high illiteracy rates in the North African and Middle Eastern region make direct cognitive testing challenging. Validated instruments for dementia in Arabic language are lacking specially those targeting low-educated subjects.
Objectives
The aim of this study was to develop a cognitive evaluation battery suitable for both educated and illiterate Egyptian elderly people.
Design
A cross-sectional study was conducted. Setting: Ain-Shams University geriatric and ophthalmology wards, geriatrics outpatient clinic, and geriatric clubs. Participants: 159 male and female participants aged ≥ 60 years were recruited.
Measurements
Cut-off points were determined according to DSM-IV criteria for dementia and MMSE scores which divided the participants into 3 quadrants as normal, having mild cognitive impairment and having dementia then application of the new battery test was done.
Results
Test re-test reliability ranged from adequate to high in most of its tests with r ≥ 0.7. There was a statistical significance between all battery tests when divided into normal and dementia according to DSM IV criteria except in digit span forward length, digit span backward length, stimulus cue of confrontation naming and judgment. Means and standard deviations were calculated for each battery subset, for the whole sample, for low-educated group and group with > 9 years education according to three quadrants of MMSE.
Conclusion
A new valid and reliable neurocognitive evaluation battery that can differentiate between normal, mild cognitive impairment, and dementia in both educated and illiterate subjects under the name of Ain Shams Cognitive Assessment (ASCA) scale is now available.
Collapse
|
12
|
Nicolas R, Hiba B, Dilharreguy B, Barse E, Baillet M, Edde M, Pelletier A, Periot O, Helmer C, Allard M, Dartigues JF, Amieva H, Pérès K, Fernandez P, Catheline G. Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall. Front Aging Neurosci 2020; 12:218. [PMID: 32922282 PMCID: PMC7456903 DOI: 10.3389/fnagi.2020.00218] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 06/19/2020] [Indexed: 11/13/2022] Open
Abstract
Objective: Extensive research using water-diffusion MRI reported age-related modifications of cerebral White Matter (WM). Moreover, water-diffusion parameter modifications have been frequently associated with cognitive performances in the elderly sample, reinforcing the idea of aging inducing microstructural disconnection of the brain which in turn impacts cognition. However, only few studies really assessed over-time modifications of these parameters and their relationship with episodic memory outcome of elderly. Materials and Methods: One-hundred and thirty elderly subjects without dementia (74.1 ± 4.1 years; 47% female) were included in this study. Diffusion tensor imaging (DTI) was performed at two-time points (3.49 ± 0.68 years apart), allowing the assessment of changes in water-diffusion parameters over time using a specific longitudinal pipeline. White matter hyperintensity (WMH) burden and gray matter (GM) atrophy were also measured on FLAIR and T1-weighted sequences collected during these two MRI sessions. Free and cued verbal recall scores assessed at the last follow-up of the cohort were used as episodic memory outcome. Changes in water-diffusion parameters over time were included in serial linear regression models to predict retrieval or storage ability of elderly. Results: GM atrophy and an increase in mean diffusivity (MD) and WMH load between the two-time points were observed. The increase in MD was significantly correlated with WMH load and the different memory scores. In models accounting for the baseline cognitive score, GM atrophy, or WMH load, MD changes still significantly predict free verbal recall, and not total verbal recall, suggesting the specific association with the retrieval deficit in healthy aging. Conclusion: In elderly, microstructural WM changes are good predictors of lower free verbal recall performances. Moreover, this contribution is not only driven by WMH load increase. This last observation is in line with studies reporting early water-diffusion modification in WM tissue during aging, resulting lately in the appearance of WMH on conventional MRI.
Collapse
Affiliation(s)
- Renaud Nicolas
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France
| | - Bassem Hiba
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France
| | - Bixente Dilharreguy
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France
| | - Elodie Barse
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,Laboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, France
| | - Marion Baillet
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,Laboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, France
| | - Manon Edde
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,Laboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, France
| | - Amandine Pelletier
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,Laboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, France
| | - Olivier Periot
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France
| | - Catherine Helmer
- Université de Bordeaux, ISPED, Centre INSERM U1219-Bordeaux Population Health Research Center, Bordeaux, France.,INSERM, ISPED, Centre INSERM U1219-Bordeaux Population Heath Research Center, Bordeaux, France
| | - Michele Allard
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,Service de Médecine Nucléaire, CHU de Bordeaux, Bordeaux, France
| | - Jean-François Dartigues
- Université de Bordeaux, ISPED, Centre INSERM U1219-Bordeaux Population Health Research Center, Bordeaux, France.,INSERM, ISPED, Centre INSERM U1219-Bordeaux Population Heath Research Center, Bordeaux, France.,CMRR, CHU de Bordeaux, Bordeaux, France
| | - Hélène Amieva
- Université de Bordeaux, ISPED, Centre INSERM U1219-Bordeaux Population Health Research Center, Bordeaux, France.,INSERM, ISPED, Centre INSERM U1219-Bordeaux Population Heath Research Center, Bordeaux, France
| | - Karine Pérès
- Université de Bordeaux, ISPED, Centre INSERM U1219-Bordeaux Population Health Research Center, Bordeaux, France.,INSERM, ISPED, Centre INSERM U1219-Bordeaux Population Heath Research Center, Bordeaux, France
| | - Philippe Fernandez
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,Service de Médecine Nucléaire, CHU de Bordeaux, Bordeaux, France
| | - Gwénaëlle Catheline
- Université de Bordeaux, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,CNRS, INCIA, UMR 5287-équipe NeuroImagerie et Cognition Humaine, Bordeaux, France.,Laboratoire Neuroimagerie et vie quotidienne, EPHE-PSL University, Bordeaux, France
| |
Collapse
|
13
|
Yang FN, Stanford M, Jiang X. Low Cholesterol Level Linked to Reduced Semantic Fluency Performance and Reduced Gray Matter Volume in the Medial Temporal Lobe. Front Aging Neurosci 2020; 12:57. [PMID: 32300296 PMCID: PMC7142997 DOI: 10.3389/fnagi.2020.00057] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 02/19/2020] [Indexed: 11/29/2022] Open
Abstract
Hyperlipidemia has been proposed as a risk factor of dementia and cognitive decline. However, the findings of the relationship between cholesterol level and cognitive/brain function have been inconsistent. Here, using a well-controlled sample from the Parkinson's Progression Markers Initiative (PPMI), we investigated the probable non-linear relationship between plasma total cholesterol (TC) level, gray matter volume (GMv), and cognitive performance in 117 non-demented subjects (mean age, 61.5 ± 8.9 years), including 67 Parkinson's disease (PD) patients and 50 demographically matched controls. A quadratic relationship between semantic fluency (SF) performance and TC levels was identified. Within the subjects with a desirable TC level (TC < 200 mg/dl), low TC (lTC) levels were associated with reduced SF performance, as well as reduced GMv in three medial temporal regions [including bilateral anterior hippocampus (HIP)]. In contrast, no significant relationship between TC and cognition performance/GMv was found in individuals with a high cholesterol level (i.e., TC ≥ 200 mg/dl). Further region of interest (ROI)-based analysis showed that individuals with TC levels ranging from 100 to 160 mg/dl had the lowest GMv in the medial temporal regions. These findings suggest that low-normal TC level may be associated with reduced cognitive function and brain atrophy in regions implicated in neurodegenerative diseases, adding to a growing body of literature supporting a probable non-linear relationship between cholesterol level and brain health. However, this finding needs to be verified with other large public cohort data that do not include PD patients.
Collapse
Affiliation(s)
- Fan Nils Yang
- Department of Neuroscience, Georgetown University Medical Center, Washington, DC, United States
| | - Macdonell Stanford
- Department of Neuroscience, Georgetown University Medical Center, Washington, DC, United States
- School of Medicine, Georgetown University Medical Center, Washington, DC, United States
| | - Xiong Jiang
- Department of Neuroscience, Georgetown University Medical Center, Washington, DC, United States
| |
Collapse
|
14
|
Nelson PT, Dickson DW, Trojanowski JQ, Jack CR, Boyle PA, Arfanakis K, Rademakers R, Alafuzoff I, Attems J, Brayne C, Coyle-Gilchrist ITS, Chui HC, Fardo DW, Flanagan ME, Halliday G, Hokkanen SRK, Hunter S, Jicha GA, Katsumata Y, Kawas CH, Keene CD, Kovacs GG, Kukull WA, Levey AI, Makkinejad N, Montine TJ, Murayama S, Murray ME, Nag S, Rissman RA, Seeley WW, Sperling RA, White III CL, Yu L, Schneider JA. Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report. Brain 2019; 142:1503-1527. [PMID: 31039256 PMCID: PMC6536849 DOI: 10.1093/brain/awz099] [Citation(s) in RCA: 780] [Impact Index Per Article: 156.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 02/10/2019] [Accepted: 02/25/2019] [Indexed: 12/18/2022] Open
Abstract
We describe a recently recognized disease entity, limbic-predominant age-related TDP-43 encephalopathy (LATE). LATE neuropathological change (LATE-NC) is defined by a stereotypical TDP-43 proteinopathy in older adults, with or without coexisting hippocampal sclerosis pathology. LATE-NC is a common TDP-43 proteinopathy, associated with an amnestic dementia syndrome that mimicked Alzheimer's-type dementia in retrospective autopsy studies. LATE is distinguished from frontotemporal lobar degeneration with TDP-43 pathology based on its epidemiology (LATE generally affects older subjects), and relatively restricted neuroanatomical distribution of TDP-43 proteinopathy. In community-based autopsy cohorts, ∼25% of brains had sufficient burden of LATE-NC to be associated with discernible cognitive impairment. Many subjects with LATE-NC have comorbid brain pathologies, often including amyloid-β plaques and tauopathy. Given that the 'oldest-old' are at greatest risk for LATE-NC, and subjects of advanced age constitute a rapidly growing demographic group in many countries, LATE has an expanding but under-recognized impact on public health. For these reasons, a working group was convened to develop diagnostic criteria for LATE, aiming both to stimulate research and to promote awareness of this pathway to dementia. We report consensus-based recommendations including guidelines for diagnosis and staging of LATE-NC. For routine autopsy workup of LATE-NC, an anatomically-based preliminary staging scheme is proposed with TDP-43 immunohistochemistry on tissue from three brain areas, reflecting a hierarchical pattern of brain involvement: amygdala, hippocampus, and middle frontal gyrus. LATE-NC appears to affect the medial temporal lobe structures preferentially, but other areas also are impacted. Neuroimaging studies demonstrated that subjects with LATE-NC also had atrophy in the medial temporal lobes, frontal cortex, and other brain regions. Genetic studies have thus far indicated five genes with risk alleles for LATE-NC: GRN, TMEM106B, ABCC9, KCNMB2, and APOE. The discovery of these genetic risk variants indicate that LATE shares pathogenetic mechanisms with both frontotemporal lobar degeneration and Alzheimer's disease, but also suggests disease-specific underlying mechanisms. Large gaps remain in our understanding of LATE. For advances in prevention, diagnosis, and treatment, there is an urgent need for research focused on LATE, including in vitro and animal models. An obstacle to clinical progress is lack of diagnostic tools, such as biofluid or neuroimaging biomarkers, for ante-mortem detection of LATE. Development of a disease biomarker would augment observational studies seeking to further define the risk factors, natural history, and clinical features of LATE, as well as eventual subject recruitment for targeted therapies in clinical trials.
Collapse
Affiliation(s)
| | | | | | | | | | - Konstantinos Arfanakis
- Rush University Medical Center, Chicago, IL, USA
- Illinois Institute of Technology, Chicago, IL, USA
| | | | | | | | | | | | - Helena C Chui
- University of Southern California, Los Angeles, CA, USA
| | | | | | - Glenda Halliday
- The University of Sydney Brain and Mind Centre and Central Clinical School Faculty of Medicine and Health, Sydney, Australia
| | | | | | | | | | | | | | - Gabor G Kovacs
- Institute of Neurology Medical University of Vienna, Vienna, Austria
| | | | | | | | | | - Shigeo Murayama
- Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | | | - Sukriti Nag
- Rush University Medical Center, Chicago, IL, USA
| | | | | | | | | | - Lei Yu
- Rush University Medical Center, Chicago, IL, USA
| | | |
Collapse
|
15
|
Abstract
The purpose of this study was to provide normative data for a Flemish version of the Buschke Selective Reminding Test (SRT). The SRT allows for the simultaneous analysis of several components of verbal memory, such as short and long term retrieval. The Flemish SRT was administered to 3257 neurologically healthy adults (1627 men and 1630 women, age range = 18-94 years). Effects of age, sex and education on SRT performance were assessed. Results indicate that SRT performance decreased with age and that this decline accelerated in men compared to women. Furthermore, an effect of education was found favoring participants who completed a higher education. Normative data quantified through percentile ranks and stratified by age, sex and education level are provided.
Collapse
|
16
|
Schneider ALC, Senjem ML, Wu A, Gross A, Knopman DS, Gunter JL, Schwarz CG, Mosley TH, Gottesman RF, Sharrett AR, Jack CR. Neural correlates of domain-specific cognitive decline: The ARIC-NCS Study. Neurology 2019; 92:e1051-e1063. [PMID: 30728308 DOI: 10.1212/wnl.0000000000007042] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 10/29/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To evaluate the association of cognitive declines in the domains of memory, language, and executive function with brain gray matter (GM) volume in old age. METHODS This was a prospective study of 1,846 participants in the Atherosclerosis Risk in Communities (ARIC) Study who underwent 3T brain MRI scans in 2011 to 2013. Participants were categorized by cognitive domain performance trajectory over the prior 20 years (cut point to define decline: 20th percentile). Associations between GM volume and cognitive declines were assessed at the voxel level with voxel-based morphometry and at the regional level with atlas-defined GM volumes of specific regions of interest. RESULTS Participants were an average age of 76 years; 60% were female; and 28% were black. Participants in the top 20th percentile for decline in the memory domain had smaller GM volumes in the medial temporal lobe (-3.3%, 95% confidence interval [CI] -4.6% to -2.1%), amygdala (-2.7%, 95% CI -4.1% to -1.3%), entorhinal cortex (-4.1%, 95% CI -6.0% to -2.2%), and hippocampus (-3.8%, 95% CI -5.2% to -2.4%) compared to participants who were in the lowest 80th percentile for decline in all domains. In contrast, among participants who were in the top 20th percentile for decline in the language or executive function domains, GM volumes were smaller in more brain regions. CONCLUSIONS Declines in memory function were associated with brain volume loss in the medial temporal and hippocampal formations. Declines in language and executive function were associated with decreases in brain volumes across more noncontiguous brain regions.
Collapse
Affiliation(s)
- Andrea L C Schneider
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson.
| | - Matthew L Senjem
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Aozhou Wu
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Alden Gross
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - David S Knopman
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Jeffrey L Gunter
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Christopher G Schwarz
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Thomas H Mosley
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Rebecca F Gottesman
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - A Richey Sharrett
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Clifford R Jack
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| |
Collapse
|